TSC has created a set of products that provide solutions for simulation of imaging IR sensors. These products include the RealIR™ application programming interface (API) for real-time hardware or man-in-the-loop simulation, the Infrared Hyperspectral Simulation System (IRHSS) for non-real-time high-fidelity simulation of multispectral and hyperspectral thermal IR sensors, and the Automatic Feature Extractor for material classification and feature extraction.
The RealIR API meets the needs of users who wish to incorporate real-time imaging IR into their simulation systems. The API provides complete functionality for a physics-based IR model and includes sensor specification, time-varying environment and atmosphere, physics-based computation of scene temperatures and radiances, and atmospheric propagation using LOWTRAN or MODTRAN. The API also provides automatic conversion of terrain and target textures to physically correct IR textures.
In addition to the IR physics library, the API contains functions for loading OpenFlight™ target and terrain models, predicting their IR signatures, and performing the real-time visualization for a moving, user-specified platform. The API also applies physics-based atmospheric effects that vary with sensor altitude and line of sight.
IRHSS Hyperspectral Simulation
IRHSS is an accurate, non-real-time large-scene simulation tool for multispectral/hyperspectral imaging sensors operating in the thermal IR bands. The simulation contains models for target and background spectral radiance, atmospheric propagation, and sensor processing. It uses a new hyperspectral version of the Multi-service Electro-optical Signature (MuSES) model to compute accurate and validated scene temperatures and hyperspectral radiances. IRHSS is able to handle very large terrain and feature databases by selective use of radiation view factors.
IRHSS provides end-to-end simulation starting with scene models built from COTS simulation databases with faceted terrain and targets, and optional overlays of visual high-resolution imagery. It includes detailed spectral databases, and computes accurate ray-traced sensor irradiance including BRDF-based reflected radiance, atmospheric propagation, and sensor effects.
Automatic Classification and Feature Extraction
Accurate physics-based sensor simulation for IR, radar, and night vision requires pixel-level classification of materials in terrain imagery and identification of major man-made features in the simulation database. TSC’s Automatic Feature Extractor (AFE) provides this capability in a user-friendly set of tools that interfaces with standard Government simulation databases such as the Common Database (CDB). The tools include an expert system-based classifier that can handle any combination of input imagery, including grayscale, color, and multispectral data. For identifying features, there are tools for extracting buildings, road networks, and waterway networks. The AFE tools are currently available either as stand-alone applications or as plug-ins for ERDAS IMAGINE®.
For more information please download the IR Sensor Simulation Products Fact Sheet (PDF)